Solar Process Engineer II: Improve Yield & Quality

Corning, Inc.; Phoenix (AZ); On-site; USD 85,000 - 117,000; Full time

Benefits offered by this job

Bonuses

Long-term incentives

401(k) matching

Health benefits

Job summary

Corning’s Solar Modular operation seeks an experienced process engineer to lead manufacturing improvements, troubleshoot complex issues, and drive continuous enhancement across yield, cost, and quality. You will collaborate with Operations, Equipment Engineering, Quality, and Maintenance to implement scalable solutions.

The role emphasizes data-driven decisions, statistical analysis, and leadership of cross-functional projects to advance safe, high-yield production in a rigorous environment.

Qualifications

• Bachelor's degree in a relevant engineering discipline.
• 5+ years in process or manufacturing engineering or related environment.
• Experience developing or improving manufacturing processes and maintaining process parameters.

Responsibilities

• Provide day-to-day engineering support and optimize Solar Modular manufacturing processes.
• Lead root-cause investigations and implement corrective actions.
• Use statistical and data analysis to reduce process variation and guide decisions.
• Run process trials, qualifications, and validations for new products and equipment.
• Lead continuous improvement projects for yield, scrap, and cycle time and maintain SOPs.

Skills

Process engineering

Root-cause analysis

Statistical analysis

Cross-functional collaboration

Education

Bachelor's degree in Mechanical, Electrical, Chemical, Materials, Manufacturing, or Automation Engineering

Tools

Excel

Minitab

Power BI

Job description

Corning’s Solar Modular operation seeks an experienced process engineer to lead manufacturing improvements, troubleshoot complex issues, and drive continuous enhancement across yield, cost, and quality. You will collaborate with Operations, Equipment Engineering, Quality, and Maintenance to implement scalable solutions.

The role emphasizes data-driven decisions, statistical analysis, and leadership of cross-functional projects to advance safe, high-yield production in a rigorous environment.